Role & responsibilities :

Looking an immediate, serving or 30 days notice period only.
Solid expertise in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch/TensorFlow/Keras).
Proven experience in classical ML algorithms regression, classification, clustering, decision trees, random forests, SVMs, neural networks, etc.
Solid grounding in statistical analysis and hypothesis testing (DOE, forecasting, segmentation, uncertainty analysis, etc.).
Hands-on experience with data pre processing, feature engineering, imputation, cleansing, transformation, and data exploration techniques (mean-variance, k-means, nearest neighbor, outlier detection, etc.).
Solid understanding of machine learning pipeline design,



from data ingestion to model evaluation and deployment.
Experience with deep learning frameworks for solving applied problems (e.g., CNNs, RNNs, Transformers).
Experience working with NLP.
Exposure to AI/ML deployment on cloud platforms such as Azure or AWS.
Working knowledge of Docker, CI/CD pipelines, and API development (Flask/Django).
Experience developing dashboards or reports in Power BI or similar tools.
Experience mentoring and providing technical direction to team members.

📌 Senior Data Scientist Bengaluru (India)
🏢 Selective Global Search
📍 India